Rockfish Historical Harvest Estimates

This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

Table 1. Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.

Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

• Model: LB_fit_3pH

• Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0full_altwt_thru2024_2e+05_2025-11-04 (Naming convention: modelname_thruYEAR_iters_rundate)

• Proportion of parmaters converged (Rhat <= 1.1): 0.9949

• See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.2937063

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.15 while 0.85 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_pelagic	13	1	1	0.283	0.269	0.098	0.554	1.033	0.120	0.117	NSEI
p_pelagic	13	1	2	0.116	0.102	0.032	0.282	1.049	0.065	0.217	NSEI
p_yellow	13	1	1	0.611	0.587	0.163	0.992	1.148	0.284	0.085	NSEI
p_yellow	13	1	2	0.617	0.599	0.163	0.994	1.151	0.284	0.063	NSEI
p_pelagic	13	10	1	0.300	0.286	0.109	0.576	1.037	0.122	0.115	NSEI
p_pelagic	13	10	2	0.122	0.109	0.035	0.285	1.055	0.065	0.199	NSEI
p_yellow	13	10	1	0.611	0.594	0.149	0.993	1.166	0.286	0.060	NSEI
p_yellow	13	10	2	0.618	0.595	0.171	0.994	1.159	0.282	0.082	NSEI
p_pelagic	13	11	1	0.306	0.290	0.117	0.579	1.040	0.122	0.131	NSEI
p_pelagic	13	11	2	0.127	0.112	0.038	0.309	1.045	0.069	0.216	NSEI
p_yellow	13	11	1	0.609	0.581	0.156	0.993	1.148	0.286	0.098	NSEI
p_yellow	13	11	2	0.612	0.584	0.150	0.994	1.153	0.286	0.098	NSEI
p_pelagic	13	12	1	0.310	0.295	0.113	0.580	1.034	0.123	0.122	NSEI
p_pelagic	13	12	2	0.127	0.113	0.040	0.286	1.039	0.066	0.214	NSEI
p_yellow	13	12	1	0.608	0.576	0.156	0.993	1.151	0.287	0.112	NSEI
p_yellow	13	12	2	0.613	0.597	0.154	0.993	1.140	0.286	0.056	NSEI
p_pelagic	13	13	1	0.316	0.302	0.125	0.583	1.033	0.120	0.117	NSEI
p_pelagic	13	13	2	0.130	0.116	0.040	0.294	1.035	0.066	0.211	NSEI
p_yellow	13	13	1	0.613	0.600	0.157	0.992	1.152	0.285	0.046	NSEI
p_yellow	13	13	2	0.614	0.600	0.160	0.993	1.159	0.284	0.049	NSEI
p_pelagic	13	14	1	0.300	0.288	0.117	0.538	1.032	0.112	0.107	NSEI
p_pelagic	13	14	2	0.129	0.116	0.041	0.295	1.025	0.066	0.198	NSEI
p_yellow	13	14	1	0.614	0.591	0.160	0.993	1.154	0.284	0.081	NSEI
p_yellow	13	14	2	0.617	0.590	0.158	0.993	1.152	0.281	0.096	NSEI
p_pelagic	13	15	1	0.273	0.258	0.101	0.516	1.026	0.110	0.137	NSEI
p_pelagic	13	15	2	0.123	0.111	0.040	0.271	1.015	0.060	0.201	NSEI
p_yellow	13	15	1	0.609	0.591	0.150	0.992	1.148	0.287	0.063	NSEI
p_yellow	13	15	2	0.609	0.587	0.145	0.993	1.148	0.289	0.076	NSEI
p_pelagic	13	16	1	0.312	0.298	0.132	0.559	1.024	0.114	0.123	NSEI
p_pelagic	13	16	2	0.135	0.124	0.044	0.288	1.032	0.064	0.172	NSEI
p_yellow	13	16	1	0.613	0.588	0.157	0.993	1.152	0.288	0.087	NSEI
p_yellow	13	16	2	0.615	0.599	0.165	0.993	1.153	0.285	0.056	NSEI
p_pelagic	13	17	1	0.327	0.315	0.129	0.573	1.020	0.115	0.104	NSEI
p_pelagic	13	17	2	0.142	0.130	0.047	0.318	1.010	0.069	0.173	NSEI
p_yellow	13	17	1	0.615	0.596	0.153	0.993	1.146	0.285	0.067	NSEI
p_yellow	13	17	2	0.615	0.602	0.158	0.993	1.144	0.285	0.046	NSEI
p_pelagic	13	18	1	0.334	0.323	0.142	0.592	1.032	0.115	0.096	NSEI
p_pelagic	13	18	2	0.147	0.134	0.049	0.316	1.026	0.068	0.190	NSEI
p_yellow	13	18	1	0.615	0.595	0.159	0.993	1.154	0.284	0.071	NSEI
p_yellow	13	18	2	0.612	0.596	0.163	0.994	1.151	0.285	0.056	NSEI
p_pelagic	13	19	1	0.333	0.322	0.147	0.591	1.025	0.114	0.096	NSEI
p_pelagic	13	19	2	0.151	0.139	0.052	0.314	1.021	0.069	0.174	NSEI
p_yellow	13	19	1	0.614	0.601	0.151	0.993	1.145	0.285	0.046	NSEI
p_yellow	13	19	2	0.610	0.594	0.150	0.993	1.156	0.288	0.056	NSEI
p_pelagic	13	2	1	0.285	0.268	0.098	0.572	1.034	0.123	0.138	NSEI
p_pelagic	13	2	2	0.115	0.102	0.033	0.263	1.045	0.062	0.211	NSEI
p_yellow	13	2	1	0.616	0.598	0.146	0.993	1.155	0.285	0.063	NSEI
p_yellow	13	2	2	0.614	0.597	0.156	0.993	1.150	0.285	0.060	NSEI
p_pelagic	13	20	1	0.354	0.344	0.163	0.604	1.020	0.116	0.087	NSEI
p_pelagic	13	20	2	0.158	0.145	0.054	0.333	1.012	0.072	0.180	NSEI
p_yellow	13	20	1	0.613	0.594	0.157	0.992	1.147	0.285	0.067	NSEI
p_yellow	13	20	2	0.615	0.599	0.164	0.994	1.141	0.285	0.056	NSEI
p_pelagic	13	21	1	0.368	0.358	0.169	0.608	1.013	0.113	0.088	NSEI
p_pelagic	13	21	2	0.166	0.153	0.059	0.346	1.010	0.075	0.174	NSEI
p_yellow	13	21	1	0.611	0.588	0.154	0.993	1.137	0.285	0.081	NSEI
p_yellow	13	21	2	0.614	0.603	0.152	0.993	1.150	0.286	0.038	NSEI
p_pelagic	13	22	2	0.172	0.160	0.064	0.344	1.010	0.074	0.162	NSEI
p_yellow	13	22	1	0.610	0.587	0.161	0.993	1.153	0.285	0.081	NSEI
p_yellow	13	22	2	0.610	0.584	0.159	0.993	1.150	0.285	0.091	NSEI
p_yellow	13	23	1	0.583	0.552	0.129	0.991	1.149	0.296	0.105	NSEI
p_yellow	13	23	2	0.648	0.646	0.184	0.995	1.138	0.269	0.007	NSEI
p_yellow	13	24	1	0.591	0.579	0.121	0.991	1.147	0.293	0.041	NSEI
p_yellow	13	24	2	0.649	0.647	0.186	0.995	1.148	0.269	0.007	NSEI
p_yellow	13	25	1	0.587	0.557	0.128	0.991	1.146	0.290	0.103	NSEI
p_yellow	13	25	2	0.648	0.643	0.191	0.994	1.138	0.269	0.019	NSEI
p_yellow	13	26	1	0.577	0.541	0.123	0.990	1.150	0.295	0.122	NSEI
p_yellow	13	26	2	0.643	0.636	0.185	0.994	1.130	0.270	0.026	NSEI
p_yellow	13	27	1	0.562	0.524	0.122	0.990	1.153	0.293	0.130	NSEI
p_yellow	13	27	2	0.637	0.625	0.186	0.994	1.141	0.266	0.045	NSEI
p_yellow	13	28	1	0.566	0.537	0.132	0.989	1.154	0.281	0.103	NSEI
p_yellow	13	28	2	0.631	0.617	0.187	0.994	1.142	0.263	0.053	NSEI
p_yellow	13	29	1	0.521	0.480	0.118	0.986	1.159	0.267	0.154	NSEI
p_yellow	13	29	2	0.602	0.586	0.186	0.991	1.144	0.246	0.065	NSEI
p_pelagic	13	3	1	0.288	0.270	0.102	0.551	1.040	0.120	0.151	NSEI
p_pelagic	13	3	2	0.115	0.099	0.033	0.285	1.046	0.066	0.243	NSEI
p_yellow	13	3	1	0.611	0.591	0.152	0.992	1.152	0.285	0.070	NSEI
p_yellow	13	3	2	0.612	0.594	0.160	0.993	1.150	0.287	0.063	NSEI
p_pelagic	13	4	1	0.289	0.273	0.103	0.565	1.050	0.122	0.132	NSEI
p_pelagic	13	4	2	0.117	0.102	0.033	0.280	1.047	0.066	0.228	NSEI
p_yellow	13	4	1	0.612	0.601	0.150	0.993	1.146	0.289	0.038	NSEI
p_yellow	13	4	2	0.618	0.612	0.164	0.994	1.145	0.284	0.021	NSEI
p_pelagic	13	5	1	0.288	0.270	0.102	0.556	1.044	0.120	0.151	NSEI
p_pelagic	13	5	2	0.117	0.102	0.034	0.287	1.049	0.066	0.228	NSEI
p_yellow	13	5	1	0.612	0.592	0.156	0.993	1.147	0.286	0.070	NSEI
p_yellow	13	5	2	0.615	0.597	0.161	0.992	1.157	0.283	0.064	NSEI
p_pelagic	13	6	1	0.293	0.277	0.104	0.565	1.038	0.122	0.131	NSEI
p_pelagic	13	6	2	0.118	0.102	0.033	0.293	1.051	0.068	0.237	NSEI
p_yellow	13	6	1	0.611	0.600	0.156	0.993	1.160	0.287	0.038	NSEI
p_yellow	13	6	2	0.613	0.596	0.153	0.992	1.149	0.286	0.059	NSEI
p_pelagic	13	7	1	0.292	0.274	0.107	0.573	1.041	0.122	0.148	NSEI
p_pelagic	13	7	2	0.117	0.103	0.034	0.278	1.052	0.064	0.220	NSEI
p_yellow	13	7	1	0.613	0.596	0.154	0.993	1.148	0.287	0.059	NSEI
p_yellow	13	7	2	0.612	0.592	0.163	0.993	1.149	0.287	0.070	NSEI
p_pelagic	13	8	1	0.297	0.281	0.106	0.570	1.042	0.121	0.133	NSEI
p_pelagic	13	8	2	0.120	0.107	0.036	0.282	1.039	0.063	0.205	NSEI
p_yellow	13	8	1	0.614	0.608	0.160	0.992	1.148	0.286	0.021	NSEI
p_yellow	13	8	2	0.615	0.600	0.158	0.993	1.155	0.286	0.052	NSEI
p_pelagic	13	9	1	0.299	0.285	0.110	0.574	1.038	0.120	0.117	NSEI
p_pelagic	13	9	2	0.122	0.107	0.035	0.289	1.039	0.066	0.229	NSEI
p_yellow	13	9	1	0.611	0.590	0.155	0.993	1.152	0.287	0.073	NSEI
p_yellow	13	9	2	0.613	0.587	0.161	0.993	1.156	0.286	0.091	NSEI
p_yellow	14	1	1	0.611	0.591	0.267	0.995	1.092	0.200	0.100	NSEO
p_yellow	14	1	2	0.645	0.633	0.291	0.996	1.073	0.193	0.062	NSEO
p_yellow	14	10	1	0.606	0.585	0.272	0.995	1.085	0.201	0.105	NSEO
p_yellow	14	10	2	0.648	0.638	0.313	0.996	1.077	0.189	0.053	NSEO
p_yellow	14	11	1	0.610	0.592	0.264	0.995	1.083	0.200	0.090	NSEO
p_yellow	14	11	2	0.642	0.626	0.294	0.996	1.077	0.192	0.083	NSEO
p_yellow	14	12	1	0.605	0.582	0.260	0.995	1.081	0.202	0.114	NSEO
p_yellow	14	12	2	0.645	0.635	0.300	0.996	1.074	0.191	0.052	NSEO
p_pelagic	14	13	1	0.423	0.422	0.189	0.659	1.012	0.126	0.008	NSEO
p_yellow	14	13	1	0.607	0.586	0.262	0.995	1.087	0.202	0.104	NSEO
p_yellow	14	13	2	0.645	0.632	0.294	0.996	1.077	0.191	0.068	NSEO
p_yellow	14	14	1	0.608	0.588	0.277	0.995	1.094	0.198	0.101	NSEO
p_yellow	14	14	2	0.641	0.626	0.302	0.996	1.079	0.193	0.078	NSEO
p_yellow	14	15	1	0.605	0.588	0.248	0.995	1.076	0.204	0.083	NSEO
p_yellow	14	15	2	0.643	0.631	0.290	0.996	1.084	0.192	0.062	NSEO
p_slope	14	15	2	0.073	0.055	0.009	0.260	1.013	0.066	0.271	NSEO
p_yellow	14	16	1	0.611	0.592	0.282	0.994	1.079	0.197	0.096	NSEO
p_yellow	14	16	2	0.642	0.630	0.284	0.996	1.070	0.193	0.062	NSEO
p_yellow	14	17	1	0.602	0.581	0.259	0.995	1.085	0.204	0.103	NSEO
p_yellow	14	17	2	0.641	0.630	0.299	0.996	1.076	0.191	0.058	NSEO
p_yellow	14	18	1	0.604	0.582	0.266	0.995	1.092	0.200	0.110	NSEO
p_yellow	14	18	2	0.637	0.620	0.297	0.996	1.080	0.193	0.088	NSEO
p_yellow	14	19	1	0.610	0.590	0.260	0.995	1.096	0.201	0.099	NSEO
p_yellow	14	19	2	0.646	0.636	0.298	0.996	1.076	0.191	0.052	NSEO
p_yellow	14	2	1	0.607	0.585	0.259	0.995	1.077	0.202	0.109	NSEO
p_yellow	14	2	2	0.647	0.634	0.296	0.995	1.067	0.193	0.068	NSEO
p_yellow	14	20	1	0.604	0.584	0.267	0.995	1.087	0.200	0.100	NSEO
p_yellow	14	20	2	0.641	0.629	0.308	0.996	1.082	0.191	0.063	NSEO
p_yellow	14	21	1	0.608	0.585	0.268	0.995	1.087	0.200	0.115	NSEO
p_yellow	14	21	2	0.641	0.627	0.306	0.996	1.082	0.193	0.073	NSEO
p_yellow	14	22	1	0.607	0.587	0.273	0.994	1.088	0.198	0.101	NSEO
p_yellow	14	22	2	0.642	0.626	0.283	0.996	1.071	0.194	0.083	NSEO
p_slope	14	22	2	0.072	0.054	0.010	0.243	1.013	0.063	0.287	NSEO
p_yellow	14	23	1	0.639	0.629	0.313	0.995	1.090	0.187	0.054	NSEO
p_yellow	14	23	2	0.642	0.627	0.298	0.996	1.077	0.193	0.078	NSEO
p_yellow	14	24	1	0.636	0.623	0.304	0.995	1.090	0.187	0.070	NSEO
p_yellow	14	24	2	0.643	0.632	0.294	0.996	1.068	0.193	0.057	NSEO
p_yellow	14	25	1	0.622	0.600	0.291	0.994	1.093	0.191	0.115	NSEO
p_yellow	14	25	2	0.640	0.635	0.290	0.996	1.067	0.194	0.026	NSEO
p_yellow	14	26	1	0.615	0.596	0.267	0.995	1.083	0.198	0.096	NSEO
p_yellow	14	26	2	0.637	0.624	0.275	0.996	1.070	0.198	0.066	NSEO
p_yellow	14	27	1	0.630	0.622	0.263	0.995	1.080	0.197	0.041	NSEO
p_yellow	14	27	2	0.642	0.633	0.282	0.996	1.079	0.195	0.046	NSEO
p_yellow	14	28	1	0.615	0.594	0.274	0.995	1.078	0.192	0.109	NSEO
p_yellow	14	28	2	0.637	0.624	0.291	0.996	1.063	0.193	0.067	NSEO
p_yellow	14	29	1	0.608	0.597	0.265	0.991	1.072	0.194	0.057	NSEO
p_yellow	14	29	2	0.634	0.628	0.288	0.993	1.071	0.186	0.032	NSEO
p_pelagic	14	3	1	0.418	0.419	0.178	0.659	1.017	0.127	-0.008	NSEO
p_yellow	14	3	1	0.605	0.578	0.260	0.995	1.090	0.201	0.135	NSEO
p_yellow	14	3	2	0.642	0.631	0.288	0.997	1.069	0.194	0.057	NSEO
p_pelagic	14	4	1	0.425	0.424	0.184	0.671	1.013	0.128	0.008	NSEO
p_yellow	14	4	1	0.608	0.587	0.270	0.995	1.083	0.199	0.105	NSEO
p_yellow	14	4	2	0.647	0.639	0.297	0.996	1.082	0.190	0.042	NSEO
p_yellow	14	5	1	0.607	0.585	0.258	0.995	1.090	0.201	0.110	NSEO
p_yellow	14	5	2	0.640	0.626	0.302	0.996	1.070	0.192	0.073	NSEO
p_yellow	14	6	1	0.608	0.586	0.270	0.995	1.089	0.200	0.110	NSEO
p_yellow	14	6	2	0.647	0.635	0.313	0.996	1.076	0.187	0.064	NSEO
p_pelagic	14	7	2	0.398	0.393	0.160	0.660	1.012	0.130	0.038	NSEO
p_yellow	14	7	1	0.607	0.580	0.265	0.995	1.093	0.201	0.134	NSEO
p_yellow	14	7	2	0.640	0.628	0.296	0.996	1.076	0.192	0.063	NSEO
p_pelagic	14	8	2	0.400	0.396	0.163	0.657	1.011	0.128	0.031	NSEO
p_yellow	14	8	1	0.606	0.584	0.263	0.995	1.092	0.201	0.109	NSEO
p_yellow	14	8	2	0.641	0.634	0.289	0.996	1.069	0.193	0.036	NSEO
p_yellow	14	9	1	0.609	0.590	0.268	0.995	1.102	0.197	0.096	NSEO
p_yellow	14	9	2	0.643	0.632	0.291	0.996	1.080	0.194	0.057	NSEO
p_slope	16	28	2	0.077	0.058	0.010	0.265	1.011	0.066	0.287	SSEO
p_dsr	16	31	1	0.402	0.401	0.376	0.432	1.683	0.015	0.066	SSEO
p_pelagic	16	42	1	0.832	0.832	0.826	0.839	1.131	0.003	0.000	SSEO
p_yellow	16	42	1	0.405	0.405	0.384	0.426	1.059	0.011	0.000	SSEO
p_dsr	16	42	1	0.470	0.479	0.411	0.512	3.550	0.030	-0.298	SSEO
p_slope	16	42	1	0.146	0.132	0.107	0.205	5.036	0.032	0.443	SSEO
p_pelagic	3	1	1	0.554	0.561	0.294	0.789	1.016	0.130	-0.054	PWSI
p_pelagic	3	1	2	0.189	0.176	0.061	0.385	1.011	0.083	0.156	PWSI
p_pelagic	3	10	1	0.551	0.559	0.280	0.784	1.014	0.130	-0.062	PWSI
p_pelagic	3	11	1	0.554	0.557	0.286	0.790	1.016	0.130	-0.023	PWSI
p_pelagic	3	11	2	0.190	0.179	0.065	0.382	1.017	0.082	0.133	PWSI
p_pelagic	3	12	1	0.553	0.561	0.295	0.781	1.017	0.127	-0.063	PWSI
p_pelagic	3	12	2	0.191	0.179	0.069	0.381	1.015	0.082	0.145	PWSI
p_pelagic	3	13	2	0.192	0.179	0.068	0.381	1.015	0.082	0.158	PWSI
p_pelagic	3	14	1	0.558	0.564	0.292	0.794	1.011	0.131	-0.046	PWSI
p_pelagic	3	14	2	0.197	0.185	0.069	0.396	1.017	0.084	0.142	PWSI
p_pelagic	3	15	1	0.554	0.557	0.285	0.799	1.012	0.131	-0.023	PWSI
p_pelagic	3	15	2	0.189	0.176	0.064	0.378	1.014	0.084	0.155	PWSI
p_pelagic	3	16	1	0.553	0.561	0.286	0.796	1.011	0.132	-0.060	PWSI
p_pelagic	3	18	1	0.556	0.564	0.286	0.785	1.013	0.130	-0.061	PWSI
p_pelagic	3	3	1	0.557	0.562	0.294	0.789	1.012	0.130	-0.038	PWSI
p_pelagic	3	4	1	0.552	0.561	0.284	0.790	1.012	0.132	-0.068	PWSI
p_pelagic	3	4	2	0.190	0.175	0.069	0.392	1.019	0.085	0.177	PWSI
p_pelagic	3	6	1	0.557	0.563	0.292	0.792	1.012	0.132	-0.045	PWSI
p_pelagic	3	7	1	0.556	0.565	0.293	0.789	1.017	0.131	-0.068	PWSI
p_pelagic	3	7	2	0.190	0.177	0.064	0.381	1.014	0.083	0.156	PWSI
p_pelagic	3	8	1	0.558	0.564	0.287	0.799	1.011	0.133	-0.045	PWSI
p_pelagic	3	9	1	0.555	0.559	0.281	0.789	1.020	0.131	-0.030	PWSI
p_yellow	4	1	1	0.882	0.896	0.711	0.977	1.010	0.071	-0.197	PWSO
p_yellow	4	10	2	0.878	0.893	0.691	0.974	1.012	0.075	-0.201	PWSO
p_yellow	4	13	2	0.876	0.894	0.689	0.974	1.011	0.076	-0.236	PWSO
p_yellow	4	2	2	0.877	0.891	0.695	0.977	1.012	0.074	-0.190	PWSO
p_yellow	4	5	1	0.882	0.897	0.696	0.979	1.015	0.073	-0.204	PWSO
p_yellow	4	6	1	0.881	0.896	0.700	0.976	1.012	0.073	-0.204	PWSO
p_yellow	8	8	2	0.925	0.943	0.757	0.991	1.010	0.063	-0.284	afognak
p_black	9	18	1	0.918	0.945	0.681	0.994	1.010	0.085	-0.319	eastside

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	year	area
beta1_pH	10	1	2.224	2.134	1.498	3.310	1.238	0.511	0.176		northeast
beta2_pH	10	1	1.504	0.747	0.234	9.215	1.139	2.101	0.360		northeast
beta2_pH	10	3	0.445	0.243	0.099	1.925	1.162	1.019	0.198		northeast
beta3_pH	10	1	32.581	32.319	30.218	36.037	1.199	1.694	0.155		northeast
beta1_pH	11	1	3.615	3.561	2.712	4.738	1.131	0.549	0.098		CSEO
beta2_pH	11	4	-7.376	-6.159	-19.150	-0.809	1.123	5.236	-0.232		CSEO
beta3_pelagic	11		30.001	29.921	28.171	32.566	1.109	1.091	0.073		CSEO
beta2_yellow	11		-5.933	-3.488	-20.246	-0.313	1.437	5.560	-0.440		CSEO
beta2_pH	12	4	-7.596	-6.240	-19.174	-1.186	1.117	5.141	-0.264		EWYKT
beta2_pH	13	4	-7.418	-6.127	-19.338	-0.996	1.126	5.179	-0.249		NSEI
beta3_pH	13	1	31.408	31.392	30.378	32.528	1.133	0.530	0.030		NSEI
beta0_pelagic	13		-1.080	-1.131	-1.700	-0.305	1.119	0.384	0.133		NSEI
beta2_pelagic	13		0.165	0.151	0.092	0.328	1.101	0.066	0.212		NSEI
beta3_pelagic	13		31.238	30.935	24.993	39.105	1.109	3.643	0.083		NSEI
beta1_yellow	13		2.243	1.540	0.095	5.931	1.228	1.770	0.397		NSEI
beta3_yellow	13		31.969	31.032	29.060	38.336	1.105	2.808	0.334		NSEI
beta2_pH	14	4	-7.447	-6.215	-19.120	-1.141	1.106	5.062	-0.243		NSEO
beta0_pelagic	14		-0.320	-0.273	-1.031	0.022	1.136	0.258	-0.182		NSEO
beta1_yellow	14		0.966	0.481	0.013	5.433	1.252	1.355	0.358		NSEO
beta0_pH	15	4	0.666	0.706	-0.306	1.478	1.131	0.464	-0.086		SSEI
beta1_pH	15	4	1.382	1.333	0.380	2.540	1.134	0.560	0.087		SSEI
beta2_pH	15	4	-7.579	-6.263	-19.383	-1.178	1.108	5.133	-0.256		SSEI
beta3_pH	15	4	40.836	40.868	39.064	42.447	1.102	0.824	-0.039		SSEI
beta1_pelagic	15		0.079	0.013	0.000	0.586	1.110	0.146	0.452		SSEI
beta2_pH	16	4	-7.997	-6.725	-19.013	-1.729	1.220	5.014	-0.254		SSEO
beta3_pH	16	4	41.532	41.515	40.920	42.260	1.240	0.364	0.047		SSEO
beta0_dsr	16		0.165	0.166	0.132	0.197	1.104	0.016	-0.062		SSEO
mu_beta2_pH	2	1	1.526	0.756	0.158	8.939	1.157	2.329	0.331		NG
tau_beta1_pH	3	4	4.614	2.600	0.272	21.352	1.102	6.609	0.305		PWSI
mu_beta2_pH	3	4	-7.041	-5.704	-18.285	-0.553	1.150	5.007	-0.267		PWSI
beta1_pH	4	1	2.050	1.904	1.333	3.602	1.159	0.551	0.265		PWSO
beta2_pH	5	1	2.115	1.325	0.244	9.949	1.128	2.519	0.314		BSAI
beta1_pH	6	1	2.094	1.903	1.086	3.964	1.187	0.745	0.256		SOKO2SAP
beta2_pH	6	1	1.363	0.458	0.125	9.390	1.126	2.473	0.366		SOKO2SAP
beta1_pH	8	1	2.428	2.285	1.165	4.510	1.273	0.859	0.167		afognak
beta2_pH	8	1	0.998	0.374	0.159	7.884	1.199	1.889	0.330		afognak
beta3_pH	8	1	35.893	35.487	29.644	42.619	1.235	3.837	0.106		afognak
beta1_pH	9	1	2.114	1.986	1.219	3.854	1.129	0.650	0.197		eastside
beta2_pH	9	1	1.249	0.505	0.147	9.186	1.191	2.076	0.358		eastside
beta2_pH	9	3	0.354	0.187	0.091	1.497	1.139	0.961	0.174		eastside

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	573.00	239.00	1,077.00	350.00
Prop. of total	0.71	0.29	0.75	0.25
Prop. median less than 1	0.19	0.21	0.32	0.45
Prop. median less than 10	0.28	0.54	0.51	0.77
Prop. median less than 50	0.44	0.75	0.67	0.85
Median of the median values	82.11	8.57	8.94	1.66
Mean of the median values	1,114.73	314.64	303.10	180.52
Mean skew of posteriors	0.22	0.29	0.26	0.25

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	24.00	11.00	56.00	45.00
Prop. of total	0.69	0.31	0.55	0.45
Prop. median less than 1	0.17	0.64	0.64	0.42
Prop. median less than 10	0.21	0.82	0.80	0.84
Prop. median less than 50	0.33	1.00	0.91	0.93
Median of the median values	1,167.86	0.94	0.09	1.42
Mean of the median values	1,043.72	5.67	47.36	7.40
Mean skew of posteriors	0.18	0.20	0.16	0.18

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_pelagic	2
beta0_pH	1
beta1_pH	7
beta1_yellow	2
beta2_pH	11
beta2_yellow	1
beta3_pH	4
eps_dsr	1
eps_pH	14
eps_sl	2
H_ay	3
H_ayg	1
H_ayu	3
Hb_ay	1
Hb_ayg	1
Hb_ayu	3
Hd_ay	1
Hd_ayg	2
Ho_ay	2
Ho_ayg	1
Ho_ayu	3
Hp_ay	3
Hp_ayg	1
Hp_ayu	3
Hs_ay	2
Hs_ayg	2
Hs_ayu	3
Hy_ay	11
Hy_ayg	9
Hy_ayu	7
mu_beta2_pH	2
p_dsr	2
p_pelagic	1
p_slope	3
p_yellow	58
pH	11
R_ay	2
R_ayg	4
R_ayu	3
Rb_ayg	5
Rb_ayu	3
Rd_ay	3
Rd_ayg	4
Rd_ayu	1
re_dsr	2
re_pH	32
re_slope	2
Ro_ay	13
Ro_ayg	13
Ro_ayu	28
Rp_ay	2
Rp_ayg	4
Rp_ayu	3
Rs_ay	5
Rs_ayg	12
Rs_ayu	19
Ry_ay	8
Ry_ayg	9
Ry_ayu	23

Parameter estimates:

Summary Table of Parameter Estimates

Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.018	0.067	-0.139	-0.020	0.122
mu_bc_H[2]	0.080	0.056	-0.027	0.077	0.194
mu_bc_H[3]	-0.266	0.069	-0.400	-0.267	-0.129
mu_bc_H[4]	-0.921	0.181	-1.287	-0.920	-0.574
mu_bc_H[5]	1.376	1.285	0.123	1.067	4.484
mu_bc_H[6]	-2.447	0.324	-3.090	-2.439	-1.828
mu_bc_H[7]	-0.459	0.099	-0.653	-0.460	-0.270
mu_bc_H[8]	0.250	0.340	-0.332	0.227	0.991
mu_bc_H[9]	-0.247	0.125	-0.486	-0.249	0.005
mu_bc_H[10]	0.055	0.067	-0.074	0.053	0.194
mu_bc_H[11]	-0.126	0.036	-0.198	-0.126	-0.053
mu_bc_H[12]	-0.258	0.109	-0.492	-0.253	-0.052
mu_bc_H[13]	-0.156	0.070	-0.293	-0.157	-0.017
mu_bc_H[14]	-0.304	0.088	-0.477	-0.305	-0.129
mu_bc_H[15]	-0.343	0.047	-0.435	-0.343	-0.250
mu_bc_H[16]	-0.152	0.369	-0.777	-0.178	0.625
mu_bc_R[1]	1.039	0.119	0.805	1.042	1.273
mu_bc_R[2]	1.015	0.076	0.853	1.021	1.149
mu_bc_R[3]	0.229	0.093	0.039	0.231	0.402
mu_bc_R[4]	0.664	0.199	0.262	0.667	1.039
mu_bc_R[5]	1.681	0.379	0.928	1.680	2.444
mu_bc_R[6]	-1.473	0.336	-2.139	-1.475	-0.814
mu_bc_R[7]	0.510	0.164	0.189	0.508	0.828
mu_bc_R[8]	0.658	0.144	0.386	0.653	0.941
mu_bc_R[9]	0.384	0.166	0.035	0.391	0.686
mu_bc_R[10]	0.893	0.105	0.683	0.892	1.097
mu_bc_R[11]	1.097	0.074	0.949	1.096	1.239
mu_bc_R[12]	0.863	0.164	0.537	0.861	1.183
mu_bc_R[13]	1.036	0.090	0.857	1.039	1.208
mu_bc_R[14]	0.864	0.125	0.613	0.863	1.106
mu_bc_R[15]	0.800	0.094	0.615	0.801	0.985
mu_bc_R[16]	1.355	0.112	1.134	1.358	1.571
tau_pH[1]	2.450	0.180	2.109	2.447	2.811
tau_pH[2]	1.609	0.152	1.336	1.603	1.922
tau_pH[3]	1.204	0.108	0.998	1.202	1.426
tau_pH[4]	1.056	0.156	0.782	1.044	1.392
tau_pH[5]	0.417	0.076	0.291	0.410	0.585
beta0_pH[1,1]	0.558	0.168	0.179	0.565	0.855
beta0_pH[2,1]	1.413	0.159	1.092	1.417	1.703
beta0_pH[3,1]	1.386	0.223	0.854	1.407	1.766
beta0_pH[4,1]	1.488	0.275	0.837	1.536	1.903
beta0_pH[5,1]	-0.802	0.421	-1.828	-0.752	-0.109
beta0_pH[6,1]	-0.507	0.389	-1.463	-0.408	0.021
beta0_pH[7,1]	0.757	0.010	0.737	0.757	0.778
beta0_pH[8,1]	-0.534	0.297	-1.192	-0.531	-0.002
beta0_pH[9,1]	-0.366	0.295	-0.966	-0.353	0.179
beta0_pH[10,1]	0.245	0.194	-0.162	0.256	0.634
beta0_pH[11,1]	-0.100	0.287	-0.645	-0.086	0.474
beta0_pH[12,1]	0.629	0.193	0.217	0.634	0.988
beta0_pH[13,1]	-0.653	0.158	-0.984	-0.648	-0.366
beta0_pH[14,1]	0.009	0.171	-0.340	0.015	0.332
beta0_pH[15,1]	0.048	0.189	-0.334	0.070	0.376
beta0_pH[16,1]	-0.857	0.206	-1.300	-0.838	-0.519
beta0_pH[1,2]	2.565	0.085	2.402	2.564	2.734
beta0_pH[2,2]	3.079	0.022	3.038	3.079	3.121
beta0_pH[3,2]	3.626	0.042	3.545	3.627	3.708
beta0_pH[4,2]	2.936	0.019	2.899	2.936	2.975
beta0_pH[5,2]	4.554	1.463	2.669	4.276	8.284
beta0_pH[6,2]	3.318	0.157	3.025	3.311	3.644
beta0_pH[7,2]	2.031	0.050	1.937	2.030	2.129
beta0_pH[8,2]	2.821	0.066	2.689	2.820	2.957
beta0_pH[9,2]	3.952	0.208	3.571	3.947	4.376
beta0_pH[10,2]	3.997	0.129	3.747	3.992	4.260
beta0_pH[11,2]	1.885	0.009	1.868	1.885	1.903
beta0_pH[12,2]	1.795	0.068	1.665	1.795	1.931
beta0_pH[13,2]	2.497	0.026	2.444	2.497	2.547
beta0_pH[14,2]	1.803	0.024	1.758	1.803	1.851
beta0_pH[15,2]	2.545	0.017	2.513	2.545	2.578
beta0_pH[16,2]	2.765	0.025	2.715	2.765	2.816
beta0_pH[1,3]	1.146	0.339	0.301	1.196	1.682
beta0_pH[2,3]	2.126	0.018	2.091	2.126	2.161
beta0_pH[3,3]	2.692	0.024	2.645	2.692	2.741
beta0_pH[4,3]	2.981	0.034	2.914	2.981	3.046
beta0_pH[5,3]	3.516	2.303	0.920	2.901	9.368
beta0_pH[6,3]	1.354	0.380	0.709	1.317	2.205
beta0_pH[7,3]	0.859	0.050	0.762	0.860	0.957
beta0_pH[8,3]	0.276	0.216	-0.151	0.296	0.618
beta0_pH[9,3]	-2.342	0.993	-4.464	-2.289	-0.530
beta0_pH[10,3]	-0.613	0.897	-2.822	-0.494	0.810
beta0_pH[11,3]	1.102	0.480	0.096	1.123	2.009
beta0_pH[12,3]	0.942	0.633	-0.442	0.937	2.182
beta0_pH[13,3]	1.005	0.469	0.040	1.014	1.903
beta0_pH[14,3]	0.589	0.444	-0.373	0.620	1.352
beta0_pH[15,3]	0.731	0.411	-0.156	0.758	1.452
beta0_pH[16,3]	1.147	0.609	-0.062	1.136	2.353
beta0_pH[11,4]	0.976	0.448	0.112	0.951	1.839
beta0_pH[12,4]	0.982	0.673	-0.313	0.955	2.358
beta0_pH[13,4]	0.729	0.535	-0.522	0.776	1.593
beta0_pH[14,4]	0.414	0.469	-0.571	0.440	1.259
beta0_pH[15,4]	0.666	0.464	-0.306	0.706	1.478
beta0_pH[16,4]	0.849	0.538	-0.227	0.836	1.902
beta0_pH[11,5]	2.973	0.153	2.694	2.964	3.288
beta0_pH[12,5]	-0.903	0.515	-1.967	-0.885	0.119
beta0_pH[13,5]	4.901	0.425	4.116	4.882	5.768
beta0_pH[14,5]	3.915	0.359	3.269	3.900	4.675
beta0_pH[15,5]	2.278	0.124	2.047	2.274	2.535
beta0_pH[16,5]	0.268	0.065	0.172	0.257	0.423
beta1_pH[1,1]	2.518	0.434	1.778	2.474	3.532
beta1_pH[2,1]	1.607	0.306	1.067	1.582	2.245
beta1_pH[3,1]	1.796	0.424	1.103	1.754	2.842
beta1_pH[4,1]	2.050	0.551	1.333	1.904	3.602
beta1_pH[5,1]	2.348	0.540	1.500	2.274	3.684
beta1_pH[6,1]	2.094	0.745	1.086	1.903	3.964
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.428	0.859	1.165	2.285	4.510
beta1_pH[9,1]	2.114	0.650	1.219	1.986	3.854
beta1_pH[10,1]	2.224	0.511	1.498	2.134	3.310
beta1_pH[11,1]	3.615	0.549	2.712	3.561	4.738
beta1_pH[12,1]	2.897	0.291	2.350	2.889	3.503
beta1_pH[13,1]	3.446	0.250	2.962	3.436	3.951
beta1_pH[14,1]	2.838	0.304	2.281	2.831	3.481
beta1_pH[15,1]	2.419	0.276	1.931	2.388	3.023
beta1_pH[16,1]	4.014	0.295	3.529	3.989	4.665
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	1.885	1.151	0.051	1.767	4.732
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.933	2.577	1.046	4.418	11.223
beta1_pH[9,3]	7.789	2.545	3.384	7.506	13.611
beta1_pH[10,3]	6.881	2.718	2.883	6.404	13.108
beta1_pH[11,3]	2.189	0.530	1.168	2.182	3.238
beta1_pH[12,3]	3.278	0.656	2.047	3.259	4.748
beta1_pH[13,3]	1.976	0.503	0.989	1.975	2.999
beta1_pH[14,3]	2.181	0.497	1.260	2.167	3.240
beta1_pH[15,3]	2.093	0.476	1.240	2.074	3.040
beta1_pH[16,3]	3.730	0.662	2.391	3.750	5.024
beta1_pH[11,4]	1.825	0.535	0.780	1.866	2.835
beta1_pH[12,4]	3.098	0.682	1.693	3.122	4.419
beta1_pH[13,4]	1.275	0.546	0.360	1.237	2.531
beta1_pH[14,4]	1.952	0.546	0.919	1.932	3.101
beta1_pH[15,4]	1.382	0.560	0.380	1.333	2.540
beta1_pH[16,4]	3.616	0.620	2.365	3.632	4.873
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.351	0.896	0.359	1.003	3.397
beta2_pH[2,1]	1.651	0.974	0.349	1.452	3.438
beta2_pH[3,1]	1.353	0.858	0.198	1.194	2.956
beta2_pH[4,1]	1.048	0.813	0.162	0.749	2.916
beta2_pH[5,1]	2.115	2.519	0.244	1.325	9.949
beta2_pH[6,1]	1.363	2.473	0.125	0.458	9.390
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	0.998	1.889	0.159	0.374	7.884
beta2_pH[9,1]	1.249	2.076	0.147	0.505	9.186
beta2_pH[10,1]	1.504	2.101	0.234	0.747	9.215
beta2_pH[11,1]	0.345	0.153	0.170	0.308	0.736
beta2_pH[12,1]	1.594	0.817	0.617	1.338	3.628
beta2_pH[13,1]	1.019	0.447	0.536	0.901	2.387
beta2_pH[14,1]	1.177	0.678	0.486	0.965	3.218
beta2_pH[15,1]	1.037	0.621	0.377	0.852	2.910
beta2_pH[16,1]	1.003	0.305	0.600	0.949	1.739
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	7.082	6.725	0.176	5.575	22.947
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	1.488	1.455	0.249	1.029	6.129
beta2_pH[9,3]	0.354	0.961	0.091	0.187	1.497
beta2_pH[10,3]	0.445	1.019	0.099	0.243	1.925
beta2_pH[11,3]	-6.068	4.764	-18.416	-4.621	-0.644
beta2_pH[12,3]	-6.845	4.603	-19.131	-5.768	-1.288
beta2_pH[13,3]	-6.335	4.754	-19.149	-4.897	-1.042
beta2_pH[14,3]	-6.371	4.631	-19.479	-5.000	-1.267
beta2_pH[15,3]	-6.520	4.670	-18.739	-5.214	-1.177
beta2_pH[16,3]	-6.370	4.494	-18.235	-4.976	-1.481
beta2_pH[11,4]	-7.376	5.236	-19.150	-6.159	-0.809
beta2_pH[12,4]	-7.596	5.141	-19.174	-6.240	-1.186
beta2_pH[13,4]	-7.418	5.179	-19.338	-6.127	-0.996
beta2_pH[14,4]	-7.447	5.062	-19.120	-6.215	-1.141
beta2_pH[15,4]	-7.579	5.133	-19.383	-6.263	-1.178
beta2_pH[16,4]	-7.997	5.014	-19.013	-6.725	-1.729
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	34.834	1.075	32.647	34.885	37.011
beta3_pH[2,1]	32.667	1.336	30.173	32.634	35.593
beta3_pH[3,1]	32.840	1.663	29.609	32.794	36.969
beta3_pH[4,1]	32.521	2.119	29.032	32.340	38.068
beta3_pH[5,1]	27.724	1.470	25.701	27.504	31.763
beta3_pH[6,1]	33.101	2.903	27.210	33.013	40.051
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	35.893	3.837	29.644	35.487	42.619
beta3_pH[9,1]	32.097	2.806	27.271	31.714	38.497
beta3_pH[10,1]	32.581	1.694	30.218	32.319	36.037
beta3_pH[11,1]	31.148	1.103	29.245	31.056	33.381
beta3_pH[12,1]	30.787	0.471	29.821	30.812	31.681
beta3_pH[13,1]	31.408	0.530	30.378	31.392	32.528
beta3_pH[14,1]	32.467	0.751	31.189	32.408	34.062
beta3_pH[15,1]	30.999	0.721	29.473	31.040	32.319
beta3_pH[16,1]	30.155	0.362	29.408	30.151	30.851
beta3_pH[1,2]	34.502	5.475	25.485	34.457	43.459
beta3_pH[2,2]	34.504	5.446	25.461	34.483	43.589
beta3_pH[3,2]	30.467	7.160	18.702	30.284	42.366
beta3_pH[4,2]	30.217	7.301	18.633	30.106	42.472
beta3_pH[5,2]	30.409	7.194	18.542	30.409	42.330
beta3_pH[6,2]	30.229	7.337	18.522	30.140	42.273
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	38.422	3.475	28.279	39.785	42.729
beta3_pH[2,3]	34.524	5.529	25.509	34.579	43.538
beta3_pH[3,3]	30.526	7.096	18.671	30.435	42.323
beta3_pH[4,3]	30.242	7.242	18.538	30.009	42.312
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.208	1.172	39.713	42.219	43.899
beta3_pH[9,3]	36.269	1.957	34.529	35.529	41.890
beta3_pH[10,3]	38.089	2.560	34.669	37.557	43.362
beta3_pH[11,3]	40.744	1.033	38.910	40.769	42.662
beta3_pH[12,3]	42.052	0.703	40.316	42.287	42.866
beta3_pH[13,3]	41.419	0.714	39.997	41.425	42.768
beta3_pH[14,3]	40.503	0.689	39.100	40.546	41.794
beta3_pH[15,3]	40.639	0.644	39.225	40.666	41.929
beta3_pH[16,3]	41.862	0.378	41.057	41.910	42.611
beta3_pH[11,4]	40.383	0.947	38.313	40.324	42.235
beta3_pH[12,4]	41.750	0.840	40.205	42.055	42.882
beta3_pH[13,4]	41.700	1.201	39.214	41.681	43.835
beta3_pH[14,4]	40.434	0.751	38.911	40.476	41.778
beta3_pH[15,4]	40.836	0.824	39.064	40.868	42.447
beta3_pH[16,4]	41.532	0.364	40.920	41.515	42.260
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.263	0.021	0.224	0.263	0.304
beta4_pH[2,1]	0.211	0.005	0.201	0.211	0.221
beta4_pH[3,1]	0.172	0.007	0.158	0.172	0.186
beta4_pH[4,1]	0.294	0.011	0.272	0.294	0.317
beta4_pH[5,1]	0.430	0.349	0.090	0.388	0.955
beta4_pH[6,1]	0.819	0.417	0.347	0.762	1.596
beta4_pH[7,1]	0.855	0.342	0.357	0.804	1.696
beta4_pH[8,1]	0.160	0.069	0.049	0.152	0.310
beta4_pH[9,1]	0.216	0.085	0.066	0.210	0.392
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.446	0.012	0.423	0.446	0.470
beta4_pH[12,1]	0.641	0.023	0.597	0.641	0.686
beta4_pH[13,1]	0.631	0.014	0.605	0.631	0.657
beta4_pH[14,1]	0.668	0.030	0.610	0.668	0.728
beta4_pH[15,1]	0.797	0.021	0.758	0.796	0.839
beta4_pH[16,1]	1.223	0.042	1.145	1.222	1.308
beta4_pH[1,2]	0.306	0.093	0.136	0.300	0.497
beta4_pH[2,2]	0.514	0.023	0.469	0.514	0.559
beta4_pH[3,2]	0.446	0.012	0.423	0.446	0.470
beta4_pH[4,2]	0.654	0.039	0.578	0.654	0.731
beta4_pH[5,2]	0.739	0.814	0.112	0.543	2.648
beta4_pH[6,2]	0.907	0.658	0.214	0.745	2.659
beta4_pH[7,2]	0.887	0.446	0.365	0.812	1.910
beta4_pH[8,2]	0.844	0.203	0.485	0.830	1.272
beta4_pH[9,2]	1.171	1.228	0.312	0.879	3.874
beta4_pH[10,2]	0.456	0.051	0.359	0.455	0.559
beta4_pH[11,2]	1.269	0.050	1.171	1.268	1.368
beta4_pH[12,2]	0.579	0.109	0.383	0.571	0.813
beta4_pH[13,2]	0.945	0.045	0.859	0.943	1.040
beta4_pH[14,2]	0.931	0.062	0.810	0.931	1.052
beta4_pH[15,2]	1.011	0.025	0.962	1.011	1.061
beta4_pH[16,2]	1.407	0.076	1.261	1.404	1.555
beta4_pH[1,3]	0.283	0.087	0.127	0.278	0.467
beta4_pH[2,3]	0.051	0.017	0.020	0.051	0.088
beta4_pH[3,3]	0.053	0.010	0.034	0.052	0.072
beta4_pH[4,3]	0.172	0.031	0.112	0.171	0.234
beta4_pH[5,3]	0.782	0.961	0.137	0.567	2.712
beta4_pH[6,3]	0.897	0.769	0.204	0.724	2.801
beta4_pH[7,3]	0.893	0.433	0.345	0.815	1.943
beta4_pH[8,3]	0.409	0.194	0.109	0.382	0.847
beta4_pH[9,3]	0.941	0.966	0.166	0.693	3.058
beta4_pH[10,3]	0.063	0.041	0.004	0.057	0.158
beta4_pH[11,3]	0.364	0.016	0.334	0.363	0.396
beta4_pH[12,3]	0.440	0.042	0.361	0.439	0.524
beta4_pH[13,3]	0.840	0.038	0.767	0.838	0.915
beta4_pH[14,3]	0.822	0.066	0.693	0.822	0.951
beta4_pH[15,3]	0.635	0.016	0.603	0.635	0.668
beta4_pH[16,3]	0.637	0.034	0.573	0.636	0.706
beta4_pH[1,4]	0.643	0.359	0.215	0.568	1.483
beta4_pH[2,4]	0.793	0.804	0.110	0.579	2.785
beta4_pH[3,4]	0.897	0.952	0.116	0.626	3.275
beta4_pH[4,4]	0.747	0.524	0.216	0.631	1.966
beta4_pH[5,4]	0.750	0.730	0.122	0.564	2.394
beta4_pH[6,4]	0.936	0.943	0.225	0.745	2.759
beta4_pH[7,4]	0.891	0.442	0.346	0.808	1.929
beta4_pH[8,4]	0.746	0.658	0.159	0.598	2.202
beta4_pH[9,4]	0.806	0.962	0.126	0.574	2.923
beta4_pH[10,4]	1.527	3.198	0.007	0.388	12.003
beta4_pH[11,4]	0.444	0.017	0.412	0.445	0.477
beta4_pH[12,4]	0.560	0.055	0.457	0.559	0.670
beta4_pH[13,4]	0.924	0.036	0.855	0.924	0.996
beta4_pH[14,4]	0.917	0.074	0.778	0.915	1.069
beta4_pH[15,4]	0.714	0.020	0.676	0.714	0.753
beta4_pH[16,4]	0.683	0.041	0.606	0.683	0.766
beta4_pH[1,5]	0.626	0.328	0.208	0.555	1.450
beta4_pH[2,5]	0.807	0.928	0.110	0.571	2.759
beta4_pH[3,5]	0.855	1.014	0.112	0.598	3.054
beta4_pH[4,5]	0.733	0.505	0.211	0.620	1.839
beta4_pH[5,5]	0.767	0.881	0.112	0.564	2.443
beta4_pH[6,5]	0.939	0.842	0.221	0.745	2.809
beta4_pH[7,5]	0.887	0.413	0.353	0.811	1.893
beta4_pH[8,5]	0.740	0.663	0.157	0.603	2.206
beta4_pH[9,5]	0.797	1.053	0.125	0.561	2.822
beta4_pH[10,5]	1.483	3.104	0.007	0.376	11.036
beta4_pH[11,5]	0.604	0.053	0.504	0.603	0.714
beta4_pH[12,5]	0.586	0.162	0.317	0.568	0.960
beta4_pH[13,5]	0.776	0.062	0.661	0.772	0.907
beta4_pH[14,5]	0.845	0.121	0.634	0.837	1.110
beta4_pH[15,5]	1.150	0.076	1.012	1.145	1.305
beta4_pH[16,5]	17.831	3.933	10.320	17.862	24.557
beta0_pelagic[1]	2.267	0.035	2.204	2.267	2.339
beta0_pelagic[2]	1.537	0.007	1.524	1.537	1.551
beta0_pelagic[3]	0.213	0.230	-0.331	0.263	0.539
beta0_pelagic[4]	0.149	0.240	-0.527	0.190	0.497
beta0_pelagic[5]	1.446	0.156	1.148	1.442	1.755
beta0_pelagic[6]	1.354	0.060	1.242	1.352	1.479
beta0_pelagic[7]	1.480	0.039	1.407	1.479	1.558
beta0_pelagic[8]	1.675	0.043	1.593	1.674	1.763
beta0_pelagic[9]	2.797	0.068	2.666	2.796	2.932
beta0_pelagic[10]	2.603	0.031	2.546	2.602	2.667
beta0_pelagic[11]	-0.131	0.173	-0.449	-0.145	0.209
beta0_pelagic[12]	1.801	0.035	1.736	1.800	1.872
beta0_pelagic[13]	-1.080	0.384	-1.700	-1.131	-0.305
beta0_pelagic[14]	-0.320	0.258	-1.031	-0.273	0.022
beta0_pelagic[15]	-0.209	0.034	-0.309	-0.195	-0.180
beta0_pelagic[16]	-0.509	0.347	-1.251	-0.454	0.012
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.726	0.236	0.338	0.708	1.297
beta1_pelagic[4]	0.904	0.260	0.503	0.868	1.616
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.124	0.243	0.627	1.140	1.563
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	2.973	0.536	1.771	3.011	3.873
beta1_pelagic[14]	1.818	0.488	1.129	1.696	3.132
beta1_pelagic[15]	0.079	0.146	0.000	0.013	0.586
beta1_pelagic[16]	1.569	0.500	0.855	1.502	2.778
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	6.513	5.779	0.292	4.842	20.999
beta2_pelagic[4]	7.259	6.082	0.298	5.830	21.977
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.931	1.637	0.339	1.350	6.503
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.165	0.066	0.092	0.151	0.328
beta2_pelagic[14]	0.843	0.848	0.186	0.573	3.361
beta2_pelagic[15]	2.514	1.858	0.139	2.133	6.973
beta2_pelagic[16]	0.720	0.947	0.126	0.383	3.764
beta3_pelagic[1]	28.735	3.963	22.317	28.804	35.187
beta3_pelagic[2]	28.802	3.906	22.319	28.752	35.174
beta3_pelagic[3]	27.844	2.725	23.191	28.268	32.553
beta3_pelagic[4]	25.854	1.286	22.697	26.191	27.901
beta3_pelagic[5]	29.338	6.622	18.490	29.225	40.315
beta3_pelagic[6]	29.536	6.646	18.619	29.715	40.357
beta3_pelagic[7]	29.449	6.636	18.465	29.347	40.352
beta3_pelagic[8]	29.375	6.625	18.522	29.254	40.375
beta3_pelagic[9]	29.646	6.597	18.526	29.626	40.488
beta3_pelagic[10]	29.377	6.680	18.641	29.298	40.436
beta3_pelagic[11]	30.001	1.091	28.171	29.921	32.566
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	31.238	3.643	24.993	30.935	39.105
beta3_pelagic[14]	34.019	1.753	30.960	33.965	37.927
beta3_pelagic[15]	33.958	5.658	23.625	34.722	41.735
beta3_pelagic[16]	30.502	2.201	26.210	30.696	34.796
beta0_yellow[1]	-0.485	0.079	-0.641	-0.485	-0.334
beta0_yellow[2]	0.542	0.077	0.381	0.547	0.678
beta0_yellow[3]	-0.228	0.134	-0.515	-0.227	0.011
beta0_yellow[4]	0.887	0.258	0.140	0.955	1.186
beta0_yellow[5]	0.260	0.336	-0.439	0.280	0.846
beta0_yellow[6]	0.815	0.106	0.615	0.813	1.033
beta0_yellow[7]	0.995	0.094	0.810	0.994	1.179
beta0_yellow[8]	1.022	0.092	0.841	1.023	1.204
beta0_yellow[9]	0.459	0.103	0.260	0.459	0.663
beta0_yellow[10]	0.542	0.070	0.411	0.540	0.683
beta0_yellow[11]	-0.195	0.121	-0.458	-0.186	0.019
beta0_yellow[12]	-1.084	0.093	-1.269	-1.085	-0.903
beta0_yellow[13]	-1.327	0.160	-1.649	-1.315	-1.050
beta0_yellow[14]	-0.249	0.155	-0.589	-0.231	-0.001
beta0_yellow[15]	-1.236	0.126	-1.529	-1.223	-1.018
beta0_yellow[16]	-0.247	0.094	-0.429	-0.248	-0.062
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.018	0.226	0.599	1.017	1.476
beta1_yellow[3]	0.495	0.251	0.026	0.493	0.981
beta1_yellow[4]	1.341	0.622	0.645	1.179	3.312
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.284	0.350	0.001	0.116	1.138
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	2.243	1.770	0.095	1.540	5.931
beta1_yellow[14]	0.966	1.355	0.013	0.481	5.433
beta1_yellow[15]	0.134	0.166	0.011	0.065	0.590
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-7.878	5.871	-22.082	-6.531	-0.549
beta2_yellow[3]	-7.568	5.862	-22.027	-6.234	-0.301
beta2_yellow[4]	-5.699	6.012	-20.615	-3.602	-0.113
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-5.933	5.560	-20.246	-3.488	-0.313
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-5.061	5.080	-18.091	-3.049	-0.341
beta2_yellow[14]	-6.870	5.455	-20.093	-5.641	-0.334
beta2_yellow[15]	-7.764	5.526	-19.474	-6.463	-0.339
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.843	1.044	27.358	28.644	31.754
beta3_yellow[3]	32.694	3.145	24.135	32.838	38.750
beta3_yellow[4]	29.899	3.287	23.360	28.796	35.664
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	35.064	3.807	30.354	33.917	43.419
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	31.969	2.808	29.060	31.032	38.336
beta3_yellow[14]	33.661	3.609	29.140	33.189	42.618
beta3_yellow[15]	36.682	3.900	30.324	36.471	43.582
beta3_yellow[16]	35.000	0.000	35.000	35.000	35.000
beta0_black[1]	0.013	0.075	-0.132	0.011	0.158
beta0_black[2]	1.854	0.032	1.795	1.853	1.919
beta0_black[3]	1.238	0.037	1.167	1.237	1.312
beta0_black[4]	2.426	0.048	2.332	2.425	2.521
beta0_black[5]	5.157	2.359	1.816	4.746	10.843
beta0_black[6]	5.244	2.122	2.653	4.682	10.836
beta0_black[7]	4.120	2.174	1.645	3.519	9.813
beta0_black[8]	0.891	0.216	0.487	0.879	1.361
beta0_black[9]	2.813	0.272	2.282	2.808	3.374
beta0_black[10]	1.289	0.050	1.194	1.288	1.389
beta0_black[11]	2.980	0.051	2.882	2.981	3.080
beta0_black[12]	4.918	0.193	4.547	4.910	5.305
beta0_black[13]	0.430	0.324	0.016	0.358	1.228
beta0_black[14]	2.851	0.105	2.646	2.850	3.059
beta0_black[15]	0.721	0.053	0.609	0.719	0.824
beta0_black[16]	3.769	0.074	3.623	3.768	3.913
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.599	1.785	-6.994	-2.152	-0.315
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.519	3.087	29.010	38.149	40.922
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.326	0.092	-0.508	-0.326	-0.146
beta4_black[2]	0.258	0.052	0.158	0.258	0.360
beta4_black[3]	-0.720	0.065	-0.847	-0.721	-0.593
beta4_black[4]	0.628	0.131	0.378	0.628	0.891
beta4_black[5]	0.747	1.510	-1.266	0.484	4.091
beta4_black[6]	0.836	1.485	-0.910	0.558	4.211
beta4_black[7]	0.766	1.477	-1.043	0.519	4.140
beta4_black[8]	0.079	0.290	-0.555	0.097	0.606
beta4_black[9]	1.032	0.814	-0.104	0.868	2.950
beta4_black[10]	0.072	0.066	-0.061	0.072	0.198
beta4_black[11]	-0.609	0.067	-0.737	-0.610	-0.473
beta4_black[12]	1.232	0.292	0.685	1.221	1.831
beta4_black[13]	-1.007	0.077	-1.159	-1.007	-0.861
beta4_black[14]	0.221	0.182	-0.129	0.222	0.579
beta4_black[15]	0.003	0.046	-0.087	0.002	0.094
beta4_black[16]	-0.412	0.117	-0.626	-0.414	-0.174
beta0_dsr[11]	-0.329	0.009	-0.348	-0.329	-0.311
beta0_dsr[12]	1.409	0.044	1.322	1.408	1.496
beta0_dsr[13]	0.155	0.020	0.116	0.155	0.194
beta0_dsr[14]	-0.127	0.017	-0.160	-0.127	-0.094
beta0_dsr[15]	0.205	0.014	0.179	0.205	0.232
beta0_dsr[16]	0.165	0.016	0.132	0.166	0.197
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.544	0.036	0.474	0.544	0.615
beta4_dsr[12]	0.805	0.226	0.364	0.796	1.253
beta4_dsr[13]	-0.079	0.040	-0.157	-0.077	-0.002
beta4_dsr[14]	-0.204	0.073	-0.341	-0.203	-0.064
beta4_dsr[15]	0.217	0.022	0.174	0.217	0.258
beta4_dsr[16]	-0.056	0.045	-0.143	-0.056	0.031
beta0_slope[11]	-2.208	0.021	-2.248	-2.208	-2.166
beta0_slope[12]	-4.981	0.186	-5.361	-4.973	-4.643
beta0_slope[13]	-1.501	0.034	-1.566	-1.501	-1.433
beta0_slope[14]	-2.712	0.052	-2.815	-2.712	-2.611
beta0_slope[15]	-1.592	0.022	-1.635	-1.591	-1.550
beta0_slope[16]	-2.659	0.037	-2.731	-2.659	-2.587
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.336	0.075	-0.482	-0.335	-0.193
beta4_slope[12]	-4.671	0.803	-6.360	-4.647	-3.199
beta4_slope[13]	0.326	0.054	0.217	0.326	0.434
beta4_slope[14]	-0.160	0.154	-0.465	-0.158	0.141
beta4_slope[15]	-0.360	0.033	-0.425	-0.360	-0.295
beta4_slope[16]	-0.137	0.101	-0.350	-0.132	0.059
beta5_slope[11]	3.071	0.107	2.871	3.068	3.289
beta5_slope[12]	2.001	0.380	1.275	1.992	2.762
beta5_slope[13]	0.879	0.080	0.729	0.877	1.043
beta5_slope[14]	3.761	0.361	3.106	3.744	4.520
beta5_slope[15]	1.308	0.074	1.169	1.307	1.458
beta5_slope[16]	2.725	0.235	2.264	2.721	3.196
tau_comp[1]	3.766	0.289	3.226	3.759	4.357
tau_comp[2]	2.851	0.255	2.377	2.840	3.390
tau_comp[3]	0.868	0.073	0.730	0.865	1.023
tau_comp[4]	1.791	0.278	1.303	1.775	2.366
tau_comp[5]	1.277	0.183	0.945	1.271	1.656
sigma_H[1]	0.208	0.047	0.125	0.204	0.306
sigma_H[2]	0.176	0.028	0.127	0.174	0.239
sigma_H[3]	0.189	0.041	0.116	0.186	0.276
sigma_H[4]	0.464	0.078	0.334	0.455	0.646
sigma_H[5]	0.953	0.201	0.588	0.939	1.373
sigma_H[6]	0.526	0.206	0.109	0.521	0.942
sigma_H[7]	0.307	0.062	0.213	0.299	0.450
sigma_H[8]	0.425	0.096	0.279	0.413	0.621
sigma_H[9]	0.512	0.117	0.333	0.495	0.783
sigma_H[10]	0.210	0.040	0.143	0.207	0.297
sigma_H[11]	0.265	0.044	0.193	0.260	0.363
sigma_H[12]	0.386	0.147	0.201	0.340	0.719
sigma_H[13]	0.217	0.036	0.156	0.213	0.298
sigma_H[14]	0.501	0.088	0.348	0.493	0.695
sigma_H[15]	0.231	0.038	0.164	0.228	0.312
sigma_H[16]	0.215	0.040	0.147	0.211	0.306
lambda_H[1]	2.302	3.658	0.081	1.010	11.999
lambda_H[2]	5.189	4.966	0.475	3.711	17.757
lambda_H[3]	5.501	8.106	0.276	2.832	27.474
lambda_H[4]	0.007	0.004	0.001	0.005	0.018
lambda_H[5]	2.527	6.469	0.022	0.623	19.650
lambda_H[6]	6.533	14.790	0.008	0.235	46.346
lambda_H[7]	0.012	0.008	0.002	0.010	0.034
lambda_H[8]	8.050	10.367	0.078	4.540	38.381
lambda_H[9]	0.015	0.010	0.003	0.013	0.040
lambda_H[10]	0.227	0.322	0.025	0.159	0.834
lambda_H[11]	0.211	0.292	0.010	0.100	1.022
lambda_H[12]	3.871	5.518	0.171	2.190	18.288
lambda_H[13]	3.119	2.880	0.261	2.328	10.758
lambda_H[14]	3.359	4.433	0.216	2.151	13.580
lambda_H[15]	0.018	0.016	0.003	0.014	0.057
lambda_H[16]	0.517	0.811	0.032	0.265	2.455
mu_lambda_H[1]	4.074	1.913	1.016	3.916	8.198
mu_lambda_H[2]	3.714	1.981	0.479	3.593	7.786
mu_lambda_H[3]	3.397	1.844	0.737	3.083	7.622
sigma_lambda_H[1]	8.044	4.333	1.722	7.292	17.738
sigma_lambda_H[2]	8.202	4.779	0.766	7.678	18.341
sigma_lambda_H[3]	6.280	4.048	0.997	5.420	16.293
beta_H[1,1]	6.502	1.309	3.559	6.717	8.412
beta_H[2,1]	9.767	0.602	8.471	9.799	10.845
beta_H[3,1]	7.827	0.804	5.936	7.922	9.114
beta_H[4,1]	10.642	7.519	-4.690	10.818	25.711
beta_H[5,1]	-0.368	2.573	-5.608	-0.236	4.049
beta_H[6,1]	2.988	4.454	-7.716	4.469	8.346
beta_H[7,1]	1.418	5.681	-10.868	1.700	11.917
beta_H[8,1]	1.395	4.177	-2.802	1.247	3.665
beta_H[9,1]	13.556	5.758	2.833	13.355	25.337
beta_H[10,1]	6.869	1.822	3.020	6.936	10.309
beta_H[11,1]	4.692	3.569	-2.886	5.260	9.916
beta_H[12,1]	2.608	1.071	0.644	2.532	4.989
beta_H[13,1]	9.099	0.878	7.170	9.160	10.605
beta_H[14,1]	2.101	1.005	0.100	2.114	4.061
beta_H[15,1]	-7.143	3.289	-13.292	-7.352	-0.520
beta_H[16,1]	3.898	2.887	-0.726	3.472	10.753
beta_H[1,2]	7.777	0.269	7.225	7.784	8.282
beta_H[2,2]	9.878	0.165	9.561	9.879	10.186
beta_H[3,2]	8.796	0.200	8.396	8.795	9.201
beta_H[4,2]	3.031	1.391	0.425	3.011	5.871
beta_H[5,2]	1.726	0.995	-0.186	1.688	3.700
beta_H[6,2]	6.042	1.100	3.602	6.197	7.801
beta_H[7,2]	2.356	1.063	0.486	2.296	4.668
beta_H[8,2]	2.988	1.176	1.283	3.145	4.270
beta_H[9,2]	3.187	1.095	1.103	3.165	5.424
beta_H[10,2]	8.041	0.363	7.277	8.054	8.758
beta_H[11,2]	9.863	0.639	8.872	9.769	11.234
beta_H[12,2]	3.938	0.368	3.244	3.924	4.691
beta_H[13,2]	9.147	0.241	8.703	9.138	9.658
beta_H[14,2]	4.017	0.342	3.371	4.007	4.741
beta_H[15,2]	11.569	0.597	10.403	11.581	12.694
beta_H[16,2]	4.457	0.812	2.991	4.423	6.116
beta_H[1,3]	8.450	0.260	7.981	8.441	8.960
beta_H[2,3]	9.850	0.148	9.563	9.851	10.139
beta_H[3,3]	9.459	0.163	9.153	9.455	9.797
beta_H[4,3]	-2.197	0.838	-3.944	-2.169	-0.598
beta_H[5,3]	3.893	0.636	2.633	3.898	5.137
beta_H[6,3]	8.470	1.187	6.747	8.172	10.952
beta_H[7,3]	-2.527	0.626	-3.819	-2.511	-1.342
beta_H[8,3]	5.318	0.556	4.687	5.233	6.486
beta_H[9,3]	-2.718	0.718	-4.137	-2.723	-1.324
beta_H[10,3]	8.552	0.277	8.022	8.551	9.099
beta_H[11,3]	8.481	0.288	7.859	8.503	8.988
beta_H[12,3]	5.272	0.322	4.538	5.309	5.792
beta_H[13,3]	8.853	0.173	8.492	8.856	9.193
beta_H[14,3]	5.787	0.262	5.230	5.803	6.257
beta_H[15,3]	10.286	0.291	9.729	10.277	10.870
beta_H[16,3]	5.951	0.596	4.691	5.986	7.005
beta_H[1,4]	8.105	0.186	7.727	8.116	8.443
beta_H[2,4]	9.842	0.132	9.568	9.848	10.089
beta_H[3,4]	9.947	0.156	9.614	9.961	10.221
beta_H[4,4]	11.809	0.459	10.904	11.792	12.741
beta_H[5,4]	5.628	0.772	4.399	5.556	7.432
beta_H[6,4]	7.219	0.932	5.267	7.436	8.568
beta_H[7,4]	8.533	0.348	7.845	8.530	9.213
beta_H[8,4]	6.716	0.274	6.203	6.736	7.140
beta_H[9,4]	7.422	0.451	6.558	7.416	8.366
beta_H[10,4]	7.528	0.228	7.099	7.520	8.000
beta_H[11,4]	9.510	0.189	9.138	9.511	9.885
beta_H[12,4]	7.256	0.195	6.880	7.254	7.653
beta_H[13,4]	9.060	0.134	8.792	9.064	9.310
beta_H[14,4]	7.824	0.212	7.403	7.820	8.246
beta_H[15,4]	9.481	0.224	9.046	9.479	9.936
beta_H[16,4]	9.423	0.239	8.973	9.417	9.922
beta_H[1,5]	8.896	0.152	8.590	8.900	9.182
beta_H[2,5]	10.678	0.101	10.494	10.674	10.891
beta_H[3,5]	10.753	0.162	10.465	10.748	11.095
beta_H[4,5]	8.344	0.494	7.370	8.347	9.329
beta_H[5,5]	5.154	0.627	3.646	5.241	6.138
beta_H[6,5]	9.054	0.658	8.067	8.925	10.493
beta_H[7,5]	6.585	0.340	5.931	6.578	7.254
beta_H[8,5]	8.248	0.221	7.900	8.226	8.688
beta_H[9,5]	8.195	0.456	7.299	8.189	9.084
beta_H[10,5]	10.044	0.228	9.595	10.048	10.501
beta_H[11,5]	11.603	0.218	11.197	11.598	12.042
beta_H[12,5]	8.614	0.189	8.238	8.617	8.987
beta_H[13,5]	10.135	0.126	9.894	10.133	10.387
beta_H[14,5]	9.246	0.218	8.848	9.238	9.704
beta_H[15,5]	11.325	0.233	10.874	11.320	11.768
beta_H[16,5]	9.841	0.186	9.452	9.847	10.189
beta_H[1,6]	10.117	0.232	9.753	10.084	10.651
beta_H[2,6]	11.468	0.119	11.225	11.469	11.698
beta_H[3,6]	10.619	0.157	10.279	10.630	10.899
beta_H[4,6]	12.925	0.879	11.222	12.915	14.674
beta_H[5,6]	5.694	0.660	4.578	5.655	7.197
beta_H[6,6]	8.786	0.593	7.498	8.813	9.864
beta_H[7,6]	10.537	0.588	9.344	10.539	11.685
beta_H[8,6]	9.515	0.298	8.954	9.539	9.962
beta_H[9,6]	8.271	0.765	6.836	8.258	9.833
beta_H[10,6]	9.152	0.343	8.419	9.180	9.740
beta_H[11,6]	10.679	0.359	9.898	10.708	11.296
beta_H[12,6]	9.379	0.241	8.919	9.372	9.870
beta_H[13,6]	11.092	0.155	10.798	11.089	11.403
beta_H[14,6]	9.911	0.283	9.348	9.913	10.447
beta_H[15,6]	10.532	0.420	9.728	10.526	11.370
beta_H[16,6]	10.600	0.261	10.050	10.609	11.100
beta_H[1,7]	10.192	1.234	7.072	10.479	11.895
beta_H[2,7]	12.112	0.529	10.963	12.140	13.069
beta_H[3,7]	10.286	0.683	8.690	10.351	11.431
beta_H[4,7]	1.370	4.510	-7.742	1.535	9.967
beta_H[5,7]	5.766	2.063	1.363	5.875	9.667
beta_H[6,7]	7.067	3.351	-1.058	8.277	11.098
beta_H[7,7]	7.754	2.998	1.845	7.729	13.703
beta_H[8,7]	10.891	1.112	9.153	10.849	12.765
beta_H[9,7]	5.014	3.961	-3.107	5.067	12.590
beta_H[10,7]	9.975	1.642	7.163	9.841	13.573
beta_H[11,7]	11.456	1.821	8.376	11.263	15.470
beta_H[12,7]	9.797	0.985	7.563	9.888	11.501
beta_H[13,7]	11.722	0.702	10.165	11.784	12.906
beta_H[14,7]	10.628	0.902	8.755	10.671	12.267
beta_H[15,7]	14.118	2.230	9.535	14.138	18.392
beta_H[16,7]	12.815	1.361	10.485	12.685	15.904
beta0_H[1]	8.518	18.052	-28.000	8.512	44.570
beta0_H[2]	10.428	8.212	-7.260	10.560	27.139
beta0_H[3]	9.712	10.300	-10.159	9.554	28.886
beta0_H[4]	10.764	188.264	-354.752	5.245	408.644
beta0_H[5]	4.033	30.137	-56.568	4.268	65.440
beta0_H[6]	6.323	56.755	-112.918	7.696	134.862
beta0_H[7]	3.502	135.273	-280.218	5.239	265.270
beta0_H[8]	5.802	34.803	-18.451	6.443	33.455
beta0_H[9]	3.708	120.189	-236.767	5.991	246.913
beta0_H[10]	9.101	38.386	-67.687	8.746	90.796
beta0_H[11]	8.110	54.401	-111.131	8.806	117.087
beta0_H[12]	6.715	12.195	-18.682	6.844	31.566
beta0_H[13]	9.829	11.086	-11.988	9.782	30.359
beta0_H[14]	7.285	12.267	-15.766	7.238	29.563
beta0_H[15]	7.852	115.529	-225.191	7.466	238.897
beta0_H[16]	8.489	30.689	-54.240	8.247	73.647